📖 Scenario: You want to find the nth number in the Fibonacci sequence quickly. The Fibonacci sequence starts with 0 and 1, and each next number is the sum of the two before it.Using a smart way called Dynamic Programming (DP), you will store results of smaller problems to avoid repeating work.
🎯 Goal: Build a program that calculates the nth Fibonacci number using Dynamic Programming with an array to store intermediate results.
📋 What You'll Learn
Create an integer variable n with value 10
Create an integer array fib of size n + 1
Initialize the first two Fibonacci numbers in fib[0] and fib[1]
Use a for loop with variable i from 2 to n to fill the fib array
Print the nth Fibonacci number stored in fib[n]
💡 Why This Matters
🌍 Real World
Calculating Fibonacci numbers efficiently is useful in computer graphics, financial models, and algorithm design where repeated calculations happen.
💼 Career
Understanding Dynamic Programming and memoization is key for software engineering roles, especially in optimization and algorithm design.
Progress0 / 4 steps
1
Create the input variable and array
Create an integer variable called n and set it to 10. Then create an integer array called fib with size n + 1.
DSA C
Hint
Remember, the array size should be n + 1 to hold Fibonacci numbers from 0 to n.
2
Initialize the first two Fibonacci numbers
Set fib[0] to 0 and fib[1] to 1 to start the Fibonacci sequence.
DSA C
Hint
The first two Fibonacci numbers are always 0 and 1.
3
Fill the Fibonacci array using a loop
Use a for loop with variable i starting from 2 up to and including n. Inside the loop, set fib[i] to the sum of fib[i - 1] and fib[i - 2].
DSA C
Hint
Each Fibonacci number is the sum of the two before it.
4
Print the nth Fibonacci number
Print the value stored in fib[n] using printf.
DSA C
Hint
The 10th Fibonacci number is 55.
Practice
(1/5)
1. What is the main advantage of using Dynamic Programming (DP) to calculate Fibonacci numbers compared to a simple recursive approach?
easy
A. It stores intermediate results to avoid repeated calculations
B. It uses more memory without improving speed
C. It calculates Fibonacci numbers randomly
D. It only works for small Fibonacci numbers
Solution
Step 1: Understand recursion vs DP
Simple recursion recalculates the same Fibonacci numbers many times, causing slow performance.
Step 2: Role of DP in Fibonacci
DP saves previously calculated Fibonacci values in a table (memoization or tabulation), avoiding repeated work.
Final Answer:
It stores intermediate results to avoid repeated calculations -> Option A
Quick Check:
DP = stores results to save time [OK]
Hint: DP saves past answers to speed up Fibonacci [OK]
Common Mistakes:
Thinking DP uses more memory without speed benefit
Believing DP calculates numbers randomly
Assuming DP only works for small inputs
2. Which of the following is the correct way to initialize the base cases in a bottom-up DP approach for Fibonacci in C?
easy
A. int fib[2] = {0, 0};
B. int fib[2] = {1, 1};
C. int fib[2] = {0, 1};
D. int fib[2] = {1, 0};
Solution
Step 1: Identify Fibonacci base cases
Fibonacci sequence starts with fib(0) = 0 and fib(1) = 1.
4. Identify the error in this DP Fibonacci code snippet and select the correct fix:
int fib[10];
fib[0] = 0;
fib[1] = 1;
for(int i = 1; i < 10; i++) {
fib[i] = fib[i-1] + fib[i-2];
}
medium
A. Initialize fib[2] before loop
B. Change loop to start from i = 2
C. Change loop condition to i <= 10
D. No error, code is correct
Solution
Step 1: Analyze loop start index
The loop starts at i=1, but fib[1] is already initialized, so fib[1] gets overwritten incorrectly.
Step 2: Correct loop start
Loop should start at i=2 to use fib[0] and fib[1] for calculation without overwriting base cases.
Final Answer:
Change loop to start from i = 2 -> Option B
Quick Check:
Loop start = 2 fixes overwrite [OK]
Hint: Start loop after base cases to avoid overwrite [OK]
Common Mistakes:
Starting loop at 1 overwrites fib[1]
Not initializing base cases properly
Using wrong loop end condition
5. You want to find the 10th Fibonacci number using DP but with optimized space using only two variables instead of an array. Which code snippet correctly implements this?
hard
A. int a = 0, b = 1, c, n = 10;
for(int i = 0; i < n; i++) {
c = a + b;
a = c;
b = a;
}
printf("%d", c);
B. int a = 0, b = 1, c, n = 10;
for(int i = 1; i < n; i++) {
c = a + b;
b = a;
a = c;
}
printf("%d", a);
C. int a = 1, b = 1, c, n = 10;
for(int i = 2; i <= n; i++) {
c = a + b;
a = b;
b = c;
}
printf("%d", c);
D. int a = 0, b = 1, c, n = 10;
for(int i = 2; i <= n; i++) {
c = a + b;
a = b;
b = c;
}
printf("%d", b);
Solution
Step 1: Understand space optimization
Only two variables (a, b) track last two Fibonacci numbers; c stores current sum.
Step 2: Check loop and updates
Loop from 2 to n, update c = a + b, then shift a = b, b = c correctly to move forward.
Final Answer:
Code snippet A correctly implements optimized Fibonacci calculation -> Option D
Quick Check:
Two vars + sum update = correct [OK]
Hint: Use two vars and update in loop for space optimization [OK]
Common Mistakes:
Swapping updates of a and b incorrectly
Wrong loop range causing off-by-one errors
Initializing variables incorrectly
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